The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-03"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "65221040 (up from 64530517 yesterday: 1.07 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1506260 (up from 1493742 yesterday: 0.84 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 12395316

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.31



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 14139577 217664 1.56 3566335 276325 2879 1.05 1.95
India 9571559 36595 0.38 842764 139188 540 0.39 1.45
Brazil 6487084 50434 0.78 705502 175270 755 0.43 2.70
Russia 2354934 27829 1.20 511256 41173 543 1.34 1.75
France 2310271 12878 0.56 362137 54231 325 0.60 2.35
United Kingdom 1678418 14951 0.90 384703 60210 414 0.69 3.59
Spain 1675902 10127 0.61 238682 46038 254 0.55 2.75
Italy 1664829 23219 1.41 598428 58038 993 1.74 3.49
Argentina 1447732 7629 0.53 163213 39305 149 0.38 2.71
Colombia 1343322 9233 0.69 169310 37305 188 0.51 2.78
Mexico 1144643 11030 0.97 152808 108173 608 0.57 9.45
Germany 1141544 23591 2.11 378712 18097 438 2.48 1.59
Poland 1028610 14863 1.47 387114 18828 620 3.41 1.83
Iran 1003494 13922 1.41 276909 49348 358 0.73 4.92
Peru 967075 3470 0.36 39069 36076 110 0.31 3.73
South Africa 800872 4400 0.55 56140 21803 94 0.43 2.72
Ukraine 793372 14812 1.90 277617 13394 254 1.93 1.69
Turkey 733261 32381 4.62 328367 14316 187 1.32 1.95
Belgium 584857 2605 0.45 64464 17033 122 0.72 2.91
Iraq 558767 2039 0.37 46961 12361 21 0.17 2.21
Indonesia 557877 8369 1.52 105586 17355 156 0.91 3.11
Chile 555406 1508 0.27 28968 15519 81 0.52 2.79
Netherlands 546982 5744 1.06 109606 9645 61 0.64 1.76
Czechia 537663 4621 0.87 90988 8641 126 1.48 1.61
Romania 492211 7661 1.58 157975 11876 211 1.81 2.41
Bangladesh 471739 2316 0.49 44541 6748 35 0.52 1.43
Philippines 435413 1056 0.24 32593 8446 10 0.12 1.94
Pakistan 410072 3262 0.80 57776 8260 55 0.67 2.01
Canada 399770 6264 1.59 113831 12423 81 0.66 3.11
Morocco 368624 4434 1.22 91803 6063 78 1.30 1.64
Saudi Arabia 358102 230 0.06 5942 5930 11 0.19 1.66
Israel 341406 1438 0.42 18996 2895 9 0.31 0.85
Switzerland 340115 4455 1.33 89719 5181 136 2.70 1.52
Portugal 307618 3772 1.24 109607 4724 79 1.70 1.54
Austria 293430 3969 1.37 111788 3538 92 2.67 1.21
Sweden 272643 6485 2.44 101278 7007 35 0.50 2.57
Nepal 237589 1343 0.57 33347 1551 13 0.85 0.65
Hungary 231844 6635 2.95 105054 5324 182 3.54 2.30
Jordan 231237 4029 1.77 99151 2909 55 1.93 1.26
Serbia 199158 7802 4.08 125393 1765 61 3.58 0.89
Ecuador 195884 1008 0.52 18371 13612 50 0.37 6.95
Kazakhstan 177386 1044 0.59 19350 2438 2 0.08 1.37
United Arab Emirates 172751 1317 0.77 26016 585 5 0.86 0.34
Panama 171219 1880 1.11 27867 3141 27 0.87 1.83
Japan 155938 2506 1.63 42283 2174 33 1.54 1.39
Bulgaria 155193 3280 2.16 64468 4503 156 3.59 2.90
Georgia 147636 4260 2.97 77955 1387 45 3.35 0.94
Dominican Republic 146009 812 0.56 14373 2335 1 0.04 1.60
Bolivia 145186 192 0.13 2297 8982 10 0.11 6.19
Kuwait 143574 314 0.22 8642 884 2 0.23 0.62
Costa Rica 142505 1165 0.82 21566 1757 18 1.04 1.23
Belarus 141609 1701 1.22 31154 1181 7 0.60 0.83
Qatar 139477 221 0.16 4345 239 0 0.00 0.17
Croatia 139415 4534 3.36 63493 1964 48 2.51 1.41
Armenia 138508 1277 0.93 25828 2254 26 1.17 1.63
Azerbaijan 133733 4189 3.23 63517 1510 40 2.72 1.13
Lebanon 132817 1520 1.16 32114 1067 12 1.14 0.80
Oman 124329 184 0.15 4887 1435 5 0.35 1.15
Guatemala 124053 593 0.48 10510 4209 18 0.43 3.39
Egypt 117156 432 0.37 7061 6713 19 0.28 5.73
Moldova 112307 1727 1.56 26269 2363 20 0.85 2.10
Ethiopia 111579 595 0.54 10331 1724 9 0.52 1.55
Greece 111537 1882 1.72 44900 2706 100 3.84 2.43
Slovakia 111208 1982 1.81 29436 930 32 3.56 0.84
Honduras 109760 616 0.56 8292 2938 8 0.27 2.68
Venezuela 103548 481 0.47 7408 909 4 0.44 0.88

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 1286550 21368 1.69 282434 19553 143 0.74 1.52 32560.81 494.86 1 in 31
Texas 1286369 17423 1.37 241875 22573 238 1.07 1.75 44363.85 778.49 1 in 23
Florida 1029030 10870 1.07 165411 18874 98 0.52 1.83 47911.47 878.77 1 in 21
Illinois 759562 10959 1.46 223020 13624 227 1.69 1.79 59941.03 1075.14 1 in 17
New York 674093 9855 1.48 128331 34775 57 0.16 5.16 34651.39 1787.59 1 in 29
Georgia 487978 5839 1.21 71102 9648 81 0.85 1.98 45960.12 908.70 1 in 22
Ohio 446849 8921 2.04 172392 6753 82 1.23 1.51 38227.84 577.72 1 in 26
Wisconsin 426534 5604 1.33 116962 3773 70 1.89 0.88 73256.99 648.01 1 in 14
Michigan 410843 7957 1.98 151660 10035 193 1.96 2.44 41138.37 1004.82 1 in 24
Pennsylvania 392434 11483 3.01 138279 10871 195 1.83 2.77 30654.14 849.16 1 in 33
Tennessee 388252 3967 1.03 91527 4781 93 1.98 1.23 56818.69 699.67 1 in 18
North Carolina 377231 5637 1.52 73777 5410 44 0.82 1.43 35967.58 515.82 1 in 28
Indiana 359430 8460 2.41 128465 6033 60 1.00 1.68 53389.53 896.14 1 in 19
New Jersey 350999 4793 1.38 84013 17209 64 0.37 4.90 39517.17 1937.47 1 in 25
Arizona 346421 5442 1.60 79859 6821 82 1.22 1.97 45492.56 895.74 1 in 22
Minnesota 333626 6149 1.88 131831 3843 92 2.45 1.15 59157.41 681.43 1 in 17
Missouri 316235 4189 1.34 86523 4141 64 1.57 1.31 51525.66 674.71 1 in 19
Alabama 260359 3531 1.37 49722 3776 65 1.75 1.45 53099.97 770.11 1 in 19
Colorado 247209 6037 2.50 99610 3320 127 3.98 1.34 42927.65 576.52 1 in 23
Virginia 244503 2023 0.83 46476 4147 34 0.83 1.70 28645.36 485.85 1 in 35
Louisiana 244078 2743 1.14 45547 6524 23 0.35 2.67 52503.51 1403.37 1 in 19
Massachusetts 240907 6675 2.85 60718 10874 50 0.46 4.51 34665.36 1564.72 1 in 29
Iowa 238724 2565 1.09 65320 2603 85 3.38 1.09 75663.61 825.02 1 in 13
South Carolina 223063 2228 1.01 32573 4466 22 0.50 2.00 43324.02 867.40 1 in 23
Utah 206165 3945 1.95 62526 917 11 1.21 0.44 64306.83 286.03 1 in 16
Maryland 205399 2044 1.01 45499 4764 49 1.04 2.32 33974.51 788.00 1 in 29
Oklahoma 204048 1707 0.84 59357 1836 24 1.32 0.90 51566.72 463.99 1 in 19
Kentucky 190600 3835 2.05 60920 2014 71 3.65 1.06 42662.03 450.79 1 in 23
Washington 172437 2095 1.23 49081 2900 50 1.75 1.68 22644.70 380.83 1 in 44
Kansas 165156 301 0.18 53916 1679 0 0.00 1.02 56690.08 576.32 1 in 18
Arkansas 164310 2789 1.73 36304 2555 33 1.31 1.55 54446.50 846.64 1 in 18
Nevada 159532 2535 1.61 44652 2250 48 2.18 1.41 51793.48 730.48 1 in 19
Mississippi 159036 2168 1.38 28371 3879 28 0.73 2.44 53436.84 1303.36 1 in 19
Nebraska 134710 2180 1.64 42157 1159 31 2.75 0.86 69638.88 599.15 1 in 14
Connecticut 126177 4751 3.91 40278 5111 20 0.39 4.05 35390.42 1433.55 1 in 28
Idaho 106455 1721 1.64 28176 1014 23 2.32 0.95 59403.54 565.83 1 in 17
New Mexico 102862 1899 1.88 42086 1673 44 2.70 1.63 49055.98 797.87 1 in 20
South Dakota 83348 1145 1.39 22632 1033 38 3.82 1.24 94214.83 1167.68 1 in 11
North Dakota 81105 970 1.21 21932 983 11 1.13 1.21 106428.35 1289.92 1 in 9
Oregon 79293 1133 1.45 25414 973 20 2.10 1.23 18799.89 230.69 1 in 53
Montana 65122 782 1.22 22091 722 9 1.26 1.11 60931.27 675.54 1 in 16
Rhode Island 60722 1717 2.91 19958 1400 9 0.65 2.31 57319.46 1321.55 1 in 17
Puerto Rico 54105 397 0.74 13653 1155 11 0.96 2.13 16941.20 361.65 1 in 59
West Virginia 51025 1120 2.24 20128 789 11 1.41 1.55 28551.09 441.49 1 in 35
Delaware 37456 758 2.07 9910 779 0 0.00 2.08 38465.17 799.99 1 in 26
Wyoming 35046 555 1.61 14567 266 27 11.30 0.76 60553.70 459.60 1 in 17
Alaska 34563 761 2.25 12751 130 8 6.56 0.38 47246.58 177.71 1 in 21
New Hampshire 22993 625 2.79 9518 544 7 1.30 2.37 16910.21 400.09 1 in 59
District of Columbia 22164 322 1.47 3657 692 2 0.29 3.12 31404.93 980.52 1 in 32
Hawaii 18484 142 0.77 1950 246 2 0.82 1.33 13054.85 173.74 1 in 77
Maine 12554 346 2.83 4159 220 2 0.92 1.75 9339.30 163.66 1 in 107
Vermont 4642 181 4.06 1991 75 1 1.35 1.62 7439.23 120.19 1 in 134

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 24474642 1286550 5.26 4132570 282434 6.83 619419.5
2 Texas 11017447 1286369 11.68 1984230 241875 12.19 379965.9
3 Florida 12735220 1029030 8.08 1951913 165411 8.47 592949.8
4 Illinois 10806364 759562 7.03 2041264 223020 10.93 852787.0
5 New York 19965164 674093 3.38 3733971 128331 3.44 1026298.7
6 Georgia 4396665 487978 11.10 589252 71102 12.07 414099.1
7 Ohio 6270788 446849 7.13 1204291 172392 14.31 536464.6
8 Wisconsin 4517462 426534 9.44 788879 116962 14.83 775871.7
9 Michigan 6831799 410843 6.01 1282007 151660 11.83 684079.0
10 Pennsylvania 3259394 392434 12.04 503889 138279 27.44 254600.6
11 Tennessee 4625661 388252 8.39 629683 91527 14.54 676941.8
12 North Carolina 5432699 377231 6.94 931925 73777 7.92 517987.8
13 Indiana 4402956 359430 8.16 1032858 128465 12.44 654012.6
14 New Jersey 6176836 350999 5.68 1052238 84013 7.98 695418.1
15 Arizona 2305084 346421 15.03 381578 79859 20.93 302707.3
16 Minnesota 4266980 333626 7.82 1063655 131831 12.39 756606.1
17 Missouri 3124697 316235 10.12 397761 86523 21.75 509121.6
18 Alabama 1615948 260359 16.11 194358 49722 25.58 329571.1
19 Colorado 3343095 247209 7.39 995827 99610 10.00 580525.8
20 Virginia 3361001 244503 7.27 507204 46476 9.16 393766.5
21 Louisiana 3541901 244078 6.89 583413 45547 7.81 761896.7
22 Massachusetts 8677996 240907 2.78 1673272 60718 3.63 1248721.8
23 Iowa 1083485 238724 22.03 118729 65320 55.02 343410.8
24 South Carolina 2449100 223063 9.11 428155 32573 7.61 475672.2
25 Utah 1866057 206165 11.05 314407 62526 19.89 582059.1
26 Maryland 4527316 205399 4.54 765803 45499 5.94 748851.4
27 Oklahoma 2161489 204048 9.44 410995 59357 14.44 546248.4
28 Kentucky 2688162 190600 7.09 542702 60920 11.23 601691.8
29 Washington 2894367 172437 5.96 249942 49081 19.64 380092.9
30 Kansas 831182 165156 19.87 130677 53916 41.26 285304.6
31 Arkansas 1719401 164310 9.56 249254 36304 14.57 569748.4
32 Nevada 1682758 159532 9.48 307089 44652 14.54 546322.3
33 Mississippi 1141431 159036 13.93 136903 28371 20.72 383526.2
34 Nebraska 1406323 134710 9.58 320531 42157 13.15 727004.3
35 Connecticut 3394113 126177 3.72 730632 40278 5.51 951988.7
36 Idaho 480700 106455 22.15 63254 28176 44.54 268238.0
37 New Mexico 1604914 102862 6.41 287666 42086 14.63 765400.5
38 South Dakota 334697 83348 24.90 48609 22632 46.56 378334.5
39 North Dakota 1106508 81105 7.33 175527 21932 12.49 1451992.1
40 Oregon 1048378 79293 7.56 112501 25414 22.59 248564.1
41 Montana 669081 65122 9.73 111130 22091 19.88 626024.3
42 Rhode Island 1594007 60722 3.81 292721 19958 6.82 1504687.3
44 West Virginia 1171602 51025 4.36 283303 20128 7.10 655571.1
45 Delaware 756629 37456 4.95 151982 9910 6.52 777014.8
46 Wyoming 412285 35046 8.50 262998 14567 5.54 712360.4
47 Alaska 1040505 34563 3.32 195839 12751 6.51 1422339.0
48 New Hampshire 838700 22993 2.74 148341 9518 6.42 616822.2
49 District of Columbia 709991 22164 3.12 138461 3657 2.64 1006010.6
50 Hawaii 683735 18484 2.70 103660 1950 1.88 482907.3
51 Maine 901836 12554 1.39 176276 4159 2.36 670903.1
52 Vermont 567067 4642 0.82 111019 1991 1.79 908777.2

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4179837 419015 3751 0.90 10.02 7025 836 118331 22626 5.40
Piemonte 1619813 172931 2230 1.31 10.68 4459 366 70006 6452 3.73
Campania 1639868 160569 2295 1.45 9.79 2041 162 102574 1818 1.13
Veneto 2841581 154490 3581 2.37 5.44 2501 307 70603 3982 2.58
Emilia-Romagna 2174960 127870 1766 1.40 5.88 2668 245 70237 5959 4.66
Lazio 2288573 125009 1769 1.44 5.46 3233 364 92879 2514 2.01
Toscana 1606027 105804 929 0.89 6.59 1467 272 35430 2756 2.60
Sicilia 992813 67862 1294 1.94 6.84 1465 221 39780 1650 2.43
Puglia 812781 59249 1602 2.78 7.29 1621 226 41749 1588 2.68
Liguria 614263 52794 422 0.81 8.59 932 102 11458 2449 4.64
Friuli Venezia Giulia 744835 32970 772 2.40 4.43 629 59 14883 941 2.85
Marche 420304 31040 476 1.56 7.39 526 88 18949 1298 4.18
Abruzzo 424370 29196 395 1.37 6.88 698 76 17828 940 3.22
P.A. Bolzano 317314 24562 374 1.55 7.74 428 35 11215 558 2.27
Umbria 428429 24516 286 1.18 5.72 344 54 6762 440 1.79
Sardegna 384979 22878 538 2.41 5.94 593 66 14220 462 2.02
Calabria 372492 17542 280 1.62 4.71 399 32 10591 322 1.84
P.A. Trento 385118 16406 239 1.48 4.26 404 45 2532 674 4.11
Basilicata 156657 8586 131 1.55 5.48 161 20 6405 158 1.84
Valle d’Aosta 54987 6619 42 0.64 12.04 113 11 1118 324 4.89
Molise 94388 4921 53 1.09 5.21 65 10 2432 127 2.58

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 146532 1470 1.01 7155 30 0.42 4.88 17162.99 838.05 1 in 58
Ontario 125233 1594 1.29 3727 13 0.35 2.98 8512.40 253.33 1 in 117
Alberta 63023 1854 3.03 575 14 2.50 0.91 14280.74 130.29 1 in 70
British Columbia 35422 694 2.00 481 12 2.56 1.36 6930.65 94.11 1 in 144
Manitoba 17751 367 2.11 353 11 3.22 1.99 12886.23 256.26 1 in 78
Saskatchewan 9244 262 2.92 54 1 1.89 0.58 7822.85 45.70 1 in 128
Nova Scotia 1343 11 0.83 65 0 0.00 4.84 1373.97 66.50 1 in 728
New Brunswick 520 6 1.17 7 0 0.00 1.35 666.67 8.97 1 in 1500
Newfoundland and Labrador 340 0 0.00 4 0 0.00 1.18 652.13 7.67 1 in 1533
Nunavut 198 5 2.59 0 0 NaN 0.00 NA NA 1 in NA
Prince Edward Island 72 0 0.00 0 0 NaN 0.00 455.24 0.00 1 in 2197
Yukon 51 1 2.00 1 0 0.00 1.96 1241.54 24.34 1 in 805
Northwest Territories 15 0 0.00 0 0 NaN 0.00 334.05 0.00 1 in 2994
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 43213.87 844.51 1 in 23
India 7148.29 103.95 1 in 140
Brazil 30994.19 837.41 1 in 32
Russia 16297.12 284.93 1 in 61
France 34486.80 809.54 1 in 29
United Kingdom 25262.16 906.23 1 in 40
Spain 35917.32 986.67 1 in 28
Italy 27526.93 959.62 1 in 36
Argentina 32702.33 887.85 1 in 31
Colombia 27375.63 760.24 1 in 37
Mexico 8859.47 837.25 1 in 113
Germany 13788.43 218.59 1 in 73
Poland 27082.94 495.73 1 in 37
Iran 12364.39 608.03 1 in 81
Peru 30061.39 1121.42 1 in 33
South Africa 14119.75 384.40 1 in 71
Ukraine NA NA 1 in NA
Turkey 9073.89 177.16 1 in 110
Belgium 51303.25 1494.12 1 in 19
Iraq 14600.65 322.99 1 in 68

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 421881 7782 1.84
Cook Illinois 318324 6823 2.14
Miami-Dade Florida 236308 3868 1.64
Maricopa Arizona 218935 4080 1.86
Harris Texas 194899 3032 1.56
Dallas Texas 143739 1621 1.13
Clark Nevada 121863 1817 1.49
Broward Florida 110517 1687 1.53
Tarrant Texas 105675 1067 1.01
San Bernardino California 99104 1154 1.16
Queens New York 92813 7365 7.94
Kings New York 91647 7512 8.20
Riverside California 90089 1457 1.62
El Paso Texas 88491 1142 1.29
San Diego California 86142 1040 1.21
Salt Lake Utah 84141 415 0.49
Bexar Texas 83885 1516 1.81
Orange California 81653 1586 1.94
Milwaukee Wisconsin 75665 780 1.03
Philadelphia Pennsylvania 70476 2005 2.84
Hennepin Minnesota 70069 1145 1.63
Wayne Michigan 67996 3268 4.81
Palm Beach Florida 67106 1709 2.55
Bronx New York 65530 5024 7.67
Suffolk New York 63758 2062 3.23
Nassau New York 62745 2264 3.61
Hillsborough Florida 59809 947 1.58
Orange Florida 59791 652 1.09
Franklin Ohio 57040 674 1.18
St. Louis Missouri 53688 1035 1.93
Westchester New York 52418 1525 2.91
Utah Utah 51382 147 0.29
Shelby Tennessee 49731 687 1.38
Oakland Michigan 49136 1395 2.84
Middlesex Massachusetts 48896 2443 5.00
Marion Indiana 48740 894 1.83
DuPage Illinois 48499 821 1.69
New York New York 46858 3229 6.89
King Washington 46070 905 1.96
Duval Florida 45575 634 1.39
Mecklenburg North Carolina 44976 458 1.02
Hidalgo Texas 44879 2082 4.64
Davidson Tennessee 44813 429 0.96
Cuyahoga Ohio 43640 768 1.76
Kern California 42937 451 1.05
Prince George’s Maryland 42458 943 2.22
Douglas Nebraska 42448 370 0.87
Fulton Georgia 42130 714 1.69
Pima Arizona 41882 717 1.71
Oklahoma Oklahoma 41709 315 0.76
Gwinnett Georgia 41349 541 1.31
Will Illinois 41204 590 1.43
Fairfield Connecticut 41062 1534 3.74
Providence Rhode Island 40206 1060 2.64
Macomb Michigan 39814 1313 3.30
Sacramento California 39367 591 1.50
Fresno California 39324 488 1.24
Travis Texas 39267 492 1.25
Jefferson Kentucky 39246 463 1.18
Lake Illinois 39051 663 1.70
Suffolk Massachusetts 38648 1261 3.26
Denver Colorado 38219 546 1.43
Essex Massachusetts 37476 1475 3.94
Santa Clara California 36673 495 1.35
Essex New Jersey 36554 2250 6.16
Bergen New Jersey 36226 2153 5.94
Kent Michigan 35134 376 1.07
Hamilton Ohio 34945 379 1.08
Polk Iowa 34873 347 1.00
Jefferson Alabama 34716 513 1.48
Tulsa Oklahoma 34519 282 0.82
Montgomery Maryland 34425 970 2.82
Pinellas Florida 33857 915 2.70
Kane Illinois 33273 488 1.47
Lubbock Texas 33271 381 1.15
Hudson New Jersey 32898 1596 4.85
New Haven Connecticut 32377 1283 3.96
Middlesex New Jersey 32028 1508 4.71
Fairfax Virginia 31915 624 1.96
Passaic New Jersey 31340 1329 4.24
Lee Florida 31243 596 1.91
Cobb Georgia 31222 517 1.66
Adams Colorado 31038 367 1.18
Alameda California 30980 522 1.68
Hartford Connecticut 30549 1622 5.31
Allegheny Pennsylvania 30543 551 1.80
Lake Indiana 30537 484 1.58
Baltimore Maryland 30187 756 2.50
Wake North Carolina 30008 297 0.99
Waukesha Wisconsin 29460 226 0.77
Ramsey Minnesota 29459 521 1.77
El Paso Colorado 29420 317 1.08
Union New Jersey 29295 1444 4.93
Dane Wisconsin 29068 105 0.36
Bernalillo New Mexico 28707 358 1.25
Arapahoe Colorado 28683 452 1.58
Sedgwick Kansas 28617 172 0.60
DeKalb Georgia 28509 469 1.65
Polk Florida 28399 691 2.43
Johnson Kansas 28078 294 1.05

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc